Multimodal LLMs papers, 2023–2026

Key findings

• Multimodal LLMs went from 1,226 papers in 2023 to 5,192 in 2026, roughly 4.2x in three years.
• NeurIPS publishes the most Multimodal LLMs work: 3,319 papers from 2023 to 2026, 30% of the four-venue total.
• The fastest-growing overlap is with Applications · computer vision: papers tagged with both rose from 35 in 2023 to 596 in 2026.
• Among the 4 topics under Trending Systems, it ranks #1 by 2026 paper count; the fastest grower in the group, AI Agents, is up 12x versus 4.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\text{A}^3$-VLA: Automatic Perception-Guided Attention Alignment for Robot Manipulation
• ICML 2026[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation
• ICLR 2026A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
• CVPR 20263D Space as a Scratchpad for Editable Text-to-Image Generation
• NeurIPS 2025$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
• ICML 2025Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
• ICLR 2025$\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
• CVPR 20252DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
• NeurIPS 2024A Concept-Based Explainability Framework for Large Multimodal Models
• ICML 2024A Multimodal Automated Interpretability Agent
• ICLR 2024Alt-Text with Context: Improving Accessibility for Images on Twitter
• CVPR 2024Data-Efficient Multimodal Fusion on a Single GPU
• NeurIPS 20234M: Massively Multimodal Masked Modeling
• ICML 2023$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
• ICLR 2023A Primal-Dual Framework for Transformers and Neural Networks
• CVPR 20233D Concept Learning and Reasoning From Multi-View Images
• NeurIPS 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
• ICML 2026$G^2$-Reader: Dual Evolving Graphs for Multimodal Document QA
• ICLR 2026A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models
• CVPR 20263D-IDE 3D Implicit Depth Emergent

All Multimodal LLMs papers

626 papers, page 10 of 13

451. CVPR 2024RegionGPT: Towards Region Understanding Vision Language Model
452. CVPR 2024RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
453. CVPR 2024Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
454. CVPR 2024Relightable and Animatable Neural Avatar from Sparse-View Video
455. CVPR 2024Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
456. CVPR 2024RepViT: Revisiting Mobile CNN From ViT Perspective
457. CVPR 2024Resource-Efficient Transformer Pruning for Finetuning of Large Models
458. CVPR 2024Rethinking FID: Towards a Better Evaluation Metric for Image Generation
459. CVPR 2024Rethinking Inductive Biases for Surface Normal Estimation
460. CVPR 2024Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis
461. CVPR 2024Retrieval-Augmented Open-Vocabulary Object Detection
462. CVPR 2024Revisiting Sampson Approximations for Geometric Estimation Problems
463. CVPR 2024Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion
464. CVPR 2024Robust Noisy Correspondence Learning with Equivariant Similarity Consistency
465. CVPR 2024Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation
466. CVPR 2024Rotation-Agnostic Image Representation Learning for Digital Pathology
467. CVPR 2024S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes
468. CVPR 2024S2MAE: A Spatial-Spectral Pretraining Foundation Model for Spectral Remote Sensing Data
469. CVPR 2024SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training
470. CVPR 2024SAI3D: Segment Any Instance in 3D Scenes
471. CVPR 2024SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
472. CVPR 2024Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic
473. CVPR 2024Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
474. CVPR 2024ScanFormer: Referring Expression Comprehension by Iteratively Scanning
475. CVPR 2024SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
476. CVPR 2024SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
477. CVPR 2024SeD: Semantic-Aware Discriminator for Image Super-Resolution
478. CVPR 2024See Say and Segment: Teaching LMMs to Overcome False Premises
479. CVPR 2024SEED-Bench: Benchmarking Multimodal Large Language Models
480. CVPR 2024Seeing the Unseen: Visual Common Sense for Semantic Placement
481. CVPR 2024Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement
482. CVPR 2024Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment
483. CVPR 2024Semantics-aware Motion Retargeting with Vision-Language Models
484. CVPR 2024Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
485. CVPR 2024Sequential Modeling Enables Scalable Learning for Large Vision Models
486. CVPR 2024Shadow-Enlightened Image Outpainting
487. CVPR 2024Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
488. CVPR 2024Sheared Backpropagation for Fine-tuning Foundation Models
489. CVPR 2024Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding
490. CVPR 2024Sieve: Multimodal Dataset Pruning using Image Captioning Models
491. CVPR 2024SimDA: Simple Diffusion Adapter for Efficient Video Generation
492. CVPR 2024Single-Model and Any-Modality for Video Object Tracking
493. CVPR 2024Situational Awareness Matters in 3D Vision Language Reasoning
494. CVPR 2024SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
495. CVPR 2024SLICE: Stabilized LIME for Consistent Explanations for Image Classification
496. CVPR 2024SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers
497. CVPR 2024SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models
498. CVPR 2024SnAG: Scalable and Accurate Video Grounding
499. CVPR 2024Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
500. CVPR 2024Snapshot Lidar: Fourier Embedding of Amplitude and Phase for Single-Image Depth Reconstruction

FAQ

How many Multimodal LLMs papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

11,209 in total: 1,226 in 2023, 1,716 in 2024, 3,075 in 2025, 5,192 in 2026.

How many Multimodal LLMs papers are at NeurIPS 2026?

NeurIPS 2026 has 1,366 Multimodal LLMs papers, versus 1,074 the year before.

How many Multimodal LLMs papers are at ICLR 2026?

ICLR 2026 has 1,401 Multimodal LLMs papers, versus 816 the year before.

How many Multimodal LLMs papers are at ICML 2026?

ICML 2026 has 1,051 Multimodal LLMs papers, versus 390 the year before.

How many Multimodal LLMs papers are at CVPR 2026?

CVPR 2026 has 1,374 Multimodal LLMs papers, versus 795 the year before.

Which conference publishes the most Multimodal LLMs papers?

NeurIPS, with 3,319 papers from 2023 to 2026.